{"id":"W7067284365","doi":"","title":"Mind the Gap: Curating Digital Commons Metadata for SHARE","year":2017,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Metadata; Meta Data Services; Workflow; Metadata repository; Commons; Data management plan; Digital library; Digital curation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.07900421,0.0007214661,0.0009024987,0.01037316,0.01004889,0.02152423,0.004497778,0.003246983,0.01009937],"category_scores_gemma":[0.1422278,0.001298226,0.001333367,0.01190786,0.008645396,0.04288367,0.03471586,0.004880582,0.006627472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006234401,"about_ca_system_score_gemma":0.02766037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210241,"about_ca_topic_score_gemma":0.01870747,"domain_scores_codex":[0.9512014,0.01980858,0.004510751,0.004324456,0.01760975,0.002545014],"domain_scores_gemma":[0.8673561,0.03400422,0.00650714,0.05073955,0.03348754,0.007905319],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003013178,0.0003596016,0.01493872,0.001300384,0.0001108783,0.0008895524,0.08206101,0.001633881,0.01141906,0.2435142,0.2370479,0.4064235],"study_design_scores_gemma":[0.00003620252,0.00006805894,0.002491106,0.0008440721,0.00005337954,0.0002974341,0.02331134,0.002990554,0.01219759,0.09131444,0.8662787,0.0001171513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05775325,0.003201761,0.6738859,0.07797703,0.003302916,0.004491077,0.00613039,0.0235211,0.1497366],"genre_scores_gemma":[0.170048,0.002328744,0.7439044,0.01141498,0.001173212,0.002287459,0.01353982,0.01025587,0.04504758],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9784757,"threshold_uncertainty_score":0.4178191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3933681844719447,"score_gpt":0.4175491456667884,"score_spread":0.02418096119484375,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}